Matthew Cook

Position:
Lecturer
Email:
Work phone:
41 44 635 3097
Home page:
Location:
Cortical Computation

How does thinking work? How does the cortex compute? This is one of today's greatest mysteries in science. We do not yet know how to make machines do computations similar to the computations done with ease by animal brains. By experimenting with cortically inspired architectures, we hope to gain an understanding of how such computation can occur. One of our current directions is examining models similar to belief propagation on factor graphs, and how such models can be adapted to naturally solve learning and control problems of the sort that brains solve naturally.

Main Projects

Teaching

INI-427, 252-1424-00 Models of Computation
INI-434, 227-1049-00 Block: Insights Into Neuroinformatics

Publications

2022

2018

2017

2016

2015

  • Diehl, P.U. and Cook, M. Unsupervised learning of digit recognition using spike-timing-dependent plasticity, Frontiers in Computational Neuroscience, 9:(99), 2015 pdf | code
  • Diehl, P.U. and Cook, M. Unsupervised Learning of Digit Recognition Using Spike-Timing-Dependent Plasticity, Frontiers in Computational Neuroscience, 2015 pdf | code
  • Diehl, P.U. and Neil, D. and Binas, J. and Cook, M. and Liu, S.C. and Pfeiffer, M. Fast-Classifying, High-Accuracy Spiking Deep Networks Through Weight and Threshold Balancing, IEEE International Joint Conference on Neural Networks (IJCNN), 2015 pdf
  • Funke, Jan and Klein, Jonas and Cardona, Albert and Cook, Matthew A Tolerant Edit Distance for Evaluation and Training of Electron Microscopy Reconstruction Algorithms, arXiv.org , 2015
  • Martel, Julien and Chau, Miguel and Cook, Matthew and Dudek, Piotr Pixel Interlacing to Trade Off the Resolution of a Cellular Processor Array Against More Registers, European Conference on Circuit Theory and Design, ECCTD 2015, 2015
  • Martel, Julien and Chau, Miguel and Dudek, Piotr and Cook, Matthew Toward Joint Approximate Inference of Visual Quantities on Cellular Processor Arrays, IEEE International Symposium on Circuits and Systems, ISCAS 2015, 2015
  • Martel, Julien and Cook, Matthew A Framework of Relational Networks to Build Systems with Sensors able to Perform the Joint Approximate Inference of Quantities, IEEE/RSJ International Conference on Intelligent Robots and Systems, Workshop on Unconventional Computing for Bayesian Inference, IROS 2015, 2015
  • Cook, M. and Larsson, U. and Neary, T. A Cellular Automaton for Blocking Queen Games, Cellular Automata and Discrete Complex Systems 71-84, 2015

2014

2012

  • Corneil, D. and Sonnleithner, D. and Neftci, E. and Chicca, E. and Cook, M. and Indiveri, G. and Douglas, R. Real-time inference in a VLSI spiking neural network, IEEE International Symposium on Circuits and Systems (ISCAS) 2425-2428, 2012
  • Corneil, D. and Sonnleithner, D. and Neftci, E. and Chicca, E. and Cook, M. and Indiveri, G. and Douglas, R. Function approximation with uncertainty propagation in a VLSI spiking neural network, International Joint Conference on Neural Networks (IJCNN) 1-7, 2012
  • Funke, Jan and Andres, Bjoern and Hamprecht, Fred A. and Cardona, Albert and Cook, Matthew Efficient Automatic 3D-Reconstruction of Branching Neurons from EM Data , Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition 2012 1004 - 1011, 2012

2011

2010

  • Neftci, Emre and Chicca, Elisabetta and Cook, Matthew and Douglas, Rodney State-Dependent Sensory Processing in Networks of VLSI Spiking Neurons, Iscas proceedings 2010 2789 - 2792, 2010 pdf

2009

  • Conradt, J. and Berner, R. and Cook, M. and Delbruck, T. An Embedded AER Dynamic Vision Sensor for Low-Latency Pole Balancing, IEEE Workshop on Embedded Computer Vision (ECV09), Kyoto, Japan, 2009 pdf
  • Conradt, J and Cook, M and Berner, R and Lichtsteiner, P and Douglas, RJ and Delbruck , T A Pencil Balancing Robot using a Pair of AER Dynamic Vision Sensors, International Conference on Circuits and Systems (ISCAS) 781-785, 2009 pdf
  • Cook, M and Jug, F and Krautz, C Sharpening Projections, BMC Neuroscience, 10: (Suppl 1):P214, 2009 pdf
  • Cook, Matthew Book review: Probabilistic reasoning and decision making in sensory-motor systems, Neuromorphic Engineer, 2009 pdf
  • Cook, Matthew and Soloveichik, David and Winfree, Erik and Bruck, Jehoshua Programmability of Chemical Reaction Networks, Algorithmic Bioprocesses 543-584, 2009 pdf

2008

2006

  • Jiang, A. and Cook, M. and Bruck, J. Optimal Interleaving on Tori, SIAM Journal on Discrete Mathematics, 20:(4) 841-879, 2006 pdf
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